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arXiv 2502.02490hep-lat
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$O(a)$-改进的QCD+QED Wilson Dirac算子在GPU上的实现

$O(a)$-improved QCD+QED Wilson Dirac operator on GPUs

Anian Altherr, Isabel Campos, Jonathan Coles, Alessandro Cotellucci, Juan Antonio Fernández De la Garza, Roman Gruber, Tim Harris, Javad Komijani, Jens Lücke, S… 展开作者

Anian Altherr, Isabel Campos, Jonathan Coles, Alessandro Cotellucci, Juan Antonio Fernández De la Garza, Roman Gruber, Tim Harris, Javad Komijani, Jens Lücke, Stephanie Maier, Marina Krstić Marinković, Letizia Parato, Agostino Patella, Sara Rosso, Paola Tavella, Hannes Vogt

AI总结:

本研究将格点QCD+QED Dirac算子求逆卸载至GPU,利用QUDA库实现显著加速,最小化扩展并提升性能可移植性,为前百亿亿次计算及含QED效应的精密物理预测奠定基础。

摘要:

格点量子色动力学(QCD)的马尔可夫链蒙特卡洛模拟是唯一已知的非微扰研究强相互作用理论的方法,并且是进行粒子物理标准模型精密检验所必需的。由于马尔可夫链是一个串行过程,提高采样率的唯一选择是加速每个单独的更新步骤。由GPU加速节点组成的异构集群提供了大的总内存带宽,可用于加速我们的应用程序openQxD-1.1,该应用程序的计算主要由Dirac算子(一个大型稀疏矩阵)的求逆主导。在本工作中,我们研究了使用格点QCD库QUDA将求逆过程卸载到GPU上,我们的初步结果表明,对于最先进的问题规模,在求解时间方面具有显著的潜在加速。对于我们的特定物理项目,只需对现有QUDA库进行最小的扩展,同时大大提高了我们代码的性能可移植性,并保留了openQxD-1.1中现有应用的可靠性和稳健性。我们的新接口将使我们能够利用前百亿亿次基础设施,并通过在我们的模拟中纳入量子电动力学(QED)效应来减少我们物理预测中的系统不确定性。

英文摘要:

Markov Chain Monte Carlo simulations of lattice Quantum Chromodynamics (QCD) are the only known tool to investigate non-perturbatively the theory of the strong interaction and are required to perform precision tests of the Standard Model of Particle Physics. As the Markov Chain is a serial process, the sole option for improving the sampling rate is accelerating each individual update step. Heterogeneous clusters of GPU-accelerated nodes offer large total memory bandwidth which can be used to speed-up our application, openQxD-1.1, which is dominated by inversions of the Dirac operator, a large sparse matrix. In this work we investigate offloading the inversion to GPU using the lattice-QCD library QUDA, and our early results demonstrate a significant potential speed-up in the time-to-solution for state-of-the-art problem sizes. Minimal extensions to the existing QUDA library are required for our specific physics programme while greatly enhancing the performance portability of our code and retaining the reliability and robustness of existing applications in openQxD-1.1. Our new interface will enable us to utilize pre-exascale infrastructure and reduce the systematic uncertainty in our physics predictions by incorporating the effects of quantum electromagnetism (QED) in our simulations.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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